Enables online identity verification by comparing a "selfie" with user's government-issued photo ID. Works both with laminated IDs such as drivers' licenses as well as with biometric passports for the most security-essential applications.
Reliance on expensive & insecure external services for establishing identity is fast becoming obsolete. Ver-ID Credentials enables a straightforward integration of identity verification directly into any digital business process.
For mobile deployments, the identity validity score can be established entirely on the user’s device. With Ver-ID there are no risks associated with export and storage of users’ images without some other business need for retention.
Our core technology is stronger than other methods relied upon today for CIP (US) compliance and is explicitly FINTRAC (Canada) compliant.
Identity-as-a-Service products use ‘bolt-on biometrics’ and so suffer from high false rates or rely on manual checks. Ver-ID Credentials is built on ARI’s core face recognition & liveness detection technology for assured performance across the broadest range of use cases.
The ubiquity of high-resolution cameras on employee & consumer devices enables you to confidently use IDs to remotely establish identity.
STEP 1: The user takes a photo of the front of their ID document.Ver-ID technology isolates and captures the ID’s elements using edge detection, image correction and rotation/cropping to ensure the best possible reference image. In the case of a biometric passport, Ver-ID extracts the information from the MRZ required to enable a chip scan.
STEP 2: The user takes a photo of the barcode on the back of their ID, enabling anti-fraud / anti-fake checks, and for data harvesting/auto-population. In the case of a biometric passport, the user scans the embedded chip, yielding both a high-resolution photograph and identifying information, all in a digital format.
STEP 3: The user takes a 'selfie' photo with the front-facing camera. Our advanced liveness detection technology confirms their live presence - ensuring their identity cannot be spoofed with a photo or even a video.
STEP 4: A confidence score of the similarity between the ID photo and the selfie photo is calculated on-device. The score and the harvested user data are delivered back via a standard JSON file. Depending on specific ID’s accepted, further ID validation checks are optionally available.